The invention belongs to the technical field of
power equipment supervision, and particularly relates to a
power equipment state monitoring and
early warning system based on a distributed sensor, which comprises a multi-
modal sensing collaborative acquisition module, an
edge node adaptive
relay transmission module, a multi-dimensional state evaluation module, a dynamic threshold early warning decision module and an intelligent early warning information pushing module. According to the invention, the acquisition period of each sensor is dynamically adjusted through the multi-
modal sensing cooperative acquisition module, the
time sequence consistency and high quality of output data are ensured, the
edge node adaptive
relay transmission module dynamically eliminates unqualified nodes, and the optimal transmission path is screened based on an
evaluation function, so that the optimal transmission path is obtained. According to the method, node
energy consumption is reduced, real-time and
reliable transmission of data is guaranteed, a multi-dimensional state evaluation module constructs an
evaluation system from multiple key dimensions to avoid misjudgment, accurate identification and graded early warning are carried out on the abnormal state of the
power equipment, a differentiated pushing strategy is made according to the early warning level, and it is ensured that early warning information can reach a key role in time.